OOIR: Observatory of International Research

Papers

(The TQCC of Political Analysis is 7. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-03-01 to 2024-03-01.)

Article	Citations
On the Use of Two-Way Fixed Effects Regression Models for Causal Inference with Panel Data	185
Does Conjoint Analysis Mitigate Social Desirability Bias?	65
Achieving Statistical Significance with Control Variables and Without Transparency	61
Automated Text Classification of News Articles: A Practical Guide	57
Improving the External Validity of Conjoint Analysis: The Essential Role of Profile Distribution	43
Out of One, Many: Using Language Models to Simulate Human Samples	33
Active Learning Approaches for Labeling Text: Review and Assessment of the Performance of Active Learning Approaches	30
Measuring the Rural Continuum in Political Science	30
Using Eye-Tracking to Understand Decision-Making in Conjoint Experiments	26
Learning to See: Convolutional Neural Networks for the Analysis of Social Science Data	22
Accounting for Skewed or One-Sided Measurement Error in the Dependent Variable	22
Matching with Text Data: An Experimental Evaluation of Methods for Matching Documents and of Measuring Match Quality	21
The MIDAS Touch: Accurate and Scalable Missing-Data Imputation with Deep Learning	20
Topics, Concepts, and Measurement: A Crowdsourced Procedure for Validating Topics as Measures	19
Do Name-Based Treatments Violate Information Equivalence? Evidence from a Correspondence Audit Experiment	19
Reducing Model Misspecification and Bias in the Estimation of Interactions	18
A Bayesian Alternative to Synthetic Control for Comparative Case Studies	18
Assessing Data Quality: An Approach and An Application	16
The Multiclass Classification of Newspaper Articles with Machine Learning: The Hybrid Binary Snowball Approach	16
Gerrymandering and Compactness: Implementation Flexibility and Abuse	15
How Populist are Parties? Measuring Degrees of Populism in Party Manifestos Using Supervised Machine Learning	15
Cross-Domain Topic Classification for Political Texts	14
Measuring Discretion and Delegation in Legislative Texts: Methods and Application to US States	13
Understanding, Choosing, and Unifying Multilevel and Fixed Effect Approaches	13
Using Conjoint Experiments to Analyze Election Outcomes: The Essential Role of the Average Marginal Component Effect	12

Using Motion Detection to Measure Social Polarization in the U.S. House of Representatives	12
How Much Does the Cardinal Treatment of Ordinal Variables Matter? An Empirical Investigation	11
Machine Learning Predictions as Regression Covariates	11
Implementing Partisan Symmetry: Problems and Paradoxes	11
Optimizing the Measurement of Sexism in Political Surveys	11
Logical Constraints: The Limitations of QCA in Social Science Research	11
Ordered Beta Regression: A Parsimonious, Well-Fitting Model for Continuous Data with Lower and Upper Bounds	10
Sentiment is Not Stance: Target-Aware Opinion Classification for Political Text Analysis	10
Less Annotating, More Classifying: Addressing the Data Scarcity Issue of Supervised Machine Learning with Deep Transfer Learning and BERT-NLI	9
An Improved Method of Automated Nonparametric Content Analysis for Social Science	9
Equivalence Testing for Regression Discontinuity Designs	9
Voter Registration Databases and MRP: Toward the Use of Large-Scale Databases in Public Opinion Research	9
A General Approach to Measuring Electoral Competitiveness for Parties and Governments	8
Estimating and Using Individual Marginal Component Effects from Conjoint Experiments	8
Eliciting Beliefs as Distributions in Online Surveys	8
Spikes and Variance: Using Google Trends to Detect and Forecast Protests	8
Identification of Preferences in Forced-Choice Conjoint Experiments: Reassessing the Quantity of Interest	8
Party Positions from Wikipedia Classifications of Party Ideology	8
Shadowing as a Tool for Studying Political Elites	8
Residual Balancing: A Method of Constructing Weights for Marginal Structural Models	8
Updating Bayesian(s): A Critical Evaluation of Bayesian Process Tracing	7
Generative Dynamics of Supreme Court Citations: Analysis with a New Statistical Network Model	7
Statistically Valid Inferences from Differentially Private Data Releases, with Application to the Facebook URLs Dataset	7
How to Get Better Survey Data More Efficiently	7